Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing
Shengluo Yang and Zhigang Xu
| Year of publication: |
2022
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|---|---|
| Authors: | Yang, Shengluo ; Xu, Zhigang |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 60.2022, 16, p. 4936-4953
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| Subject: | Deep reinforcement learning | A2C | dynamic job arrival | dynamic scheduling and reconfiguration | intelligent scheduling | reconfigurable manufacturing system (RMS) | Scheduling-Verfahren | Scheduling problem | Produktionssystem | Manufacturing system | Lernen | Learning | Algorithmus | Algorithm | Künstliche Intelligenz | Artificial intelligence |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2021.1943037 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013500605